Enterprise Data Virtualization in the Cloud

BEST PRACTICES TO MODERNIZE IT PROJECTS AND MITIGATE BUSINESS RISKS
As workloads, data and processes shift across on-premises, hybrid clouds and mobile infrastructure, enterprises must develop a strategy to manage IT change and the risk that comes with it. Attend this webinar to learn:

How to craft an IT modernization strategy for the enterprise architecture
How to select the tools to control risks associated with IT modernization
Case studies of global firms that have successfully modernized their infrastructure to enable business and IT transformation

Overseeing new enterprise software and application implementations can be risky, including successful upgrades. A variety of issues - from inadequate backups and small upgrade windows, to ballooning hardware costs and delayed project timelines - can derail a project.

Join Oracle upgrade expert, Mike Swing, and learn how you can be successful with your upgrade of Oracle E-Business Suite applications, and how to successfully maintain your organization’s efficiency, communications, collaboration, and data security during these transitions.

With enterprises turning to virtualization as an approach to better manage and deliver application data, it's important to understand what this technology encompasses. Definitions like "VMWare for your data" or "copy data management" tell part of the story. However, many are still left wondering how data virtualization works, and why it's fast becoming part of IT organizations' reference architecture for application projects.

Join this webinar to learn the basics of data virtualization, including:

How data virtualization works
What kinds of projects and use cases are a fit for data virtualization
Why virtual data improves enterprise agility, security, and cost efficiency

A new, data-centric approach to security is taking hold. Rather than establishing perimeter defenses in hopes of repelling breach attempts, security-minded organizations are investing in technologies that protect the interior--the data itself. In particular, the combination of virtual data and data masking is proving to be a powerful way for enterprises to safeguard sensitive data from both insider and outsider threats.

View this webinar to learn:

How data masking is superior to solutions based on encryption and firewalls
What virtualized data is, and how it forms the foundation for an effective security strategy
Why integrating data masking with virtual data reduces your surface area of risk by 90%

Data Masking Is Changing How Businesses Prevent Data Breach
With data breaches on the rise, businesses are heavily investing in solutions to safeguard sensitive data. However, businesses too often fail to secure confidential information in environments used for development, testing, training, and analytics. These so-called non-production environments can represent over 80% of the surface area of risk for breach. Data masking has emerged as the de facto standard for protecting these environments from insider and outsider threats alike. Masking replaces sensitive data with fictitious yet realistic data, preserving its value for non-production use while completely eliminating the risk of breach. Moreover, a new generation of solutions couples data masking with advanced virtualization technology to secure and deliver data -- without the slowdown caused by traditional methods.
Register and discover:

The key reasons why next-generation data masking reduces risk of breach
How masking compares to other security approaches such as encryption
Why next-generation masking is essential for businesses that must comply with HIPAA, PCI DSS, and SOX

BEST PRACTICES TO MODERNIZE IT PROJECTS AND MITIGATE BUSINESS RISKS
As workloads, data and processes shift across on-premises, hybrid clouds and mobile infrastructure, enterprises must develop a strategy to manage IT change and the risk that comes with it. Attend this webinar to learn:

How to craft an IT modernization strategy for the enterprise architecture
How to select the tools to control risks associated with IT modernization
Case studies of global firms that have successfully modernized their infrastructure to enable business and IT transformation

Next Generation Masking for Business Security
If you’re like most businesses, as much as 80% of sensitive data resides in non-production environments used for development, testing, training, and reporting. In other words, the majority of your most valuable information exists in some your least secure environments.

During this webinar, you’ll learn why data masking is the most effective approach to protecting those environments, from insider and outsider threats alike. You’ll also learn about critical challenges and best practices for implementing data masking solutions across a variety of use cases:

Key data security requirements for businesses moving to the cloud
How to secure data for outsourced or offshored application development and analytics
Why IT departments need to address both data security and data distribution challenges

Every modern organization is under pressure to deliver software faster and with higher quality. But more often than not, resources are limited. In organizations with large data estates, this pressure means constant, mindless work for DBAs and substantial delays for developers and testers waiting for the environments they need.

Delphix Data as a Service easily delivers data on-demand to developers and testers while providing DBAs with management tools and streamlined processes to quickly and accurately get the job done.

In just 10 minutes, learn how to use Delphix to:

-Ensure continuous data security with automatic data masking
-Provision data at any point in time for full, fresh, faithful data
-Easily share data sets between users for accelerated collaboration

SAFEGUARDING THE ENTERPRISE WITH SECURE DATA AS A SERVICE
It seems like every other day another industry leader is caught off-guard by data theft. As data breaches continue to make headlines, commercial and public organizations are seeking solutions to protect sensitive customer data, including health, financial, and identity information.

What are the biggest challenges for organizations in securing sensitive data? What are some things that you can do to mitigate risk?

Cloud deployments are rapidly becoming not just feasible but essential for both small-to-medium-size businesses and large, established organizations. In this webinar, see how Delphix helps organizations accelerate their cloud migrations and operate more efficiently in cloud environments with increased data security and lower costs.

What you’ll learn:

– How to accelerate cloud migrations
– How to decrease costs in cloud environments
– How to eliminate data risk in cloud environments by using next generation data masking

HOW CAN HIGH-QUALITY, SECURE TEST DATA BE DELIVERED FASTER THAN EVER BEFORE?
Prevailing approaches to test data management (TDM) have flaws in at least one key dimension. Technologies such as subsetting, synthetic data, and standalone masking force QA teams to choose between (1) high-quality data and (2) fast access to test environments.

Data as a Service (DaaS), however, allows project teams to avoid this tradeoff. By bringing the benefits of virtualization to application data, DaaS dramatically reduces storage costs for test environments, while also giving customers high-quality test data and fast data delivery.

During this webinar we’ll discuss:
• Key shortcomings of current TDM solutions such as data subsetting, synthetic data, and standalone data masking
• How DaaS solutions deliver high-quality test data with unmatched speed
• Examples of customers leveraging DaaS to release higher quality applications in a shorter amount of time

IT leaders know that successful application initiatives-- such as implementing ERP, upgrading a content management system, or maintaining a CRM — can drive material competitive advantage. Learn how firms can execute packaged application projects on time, on budget, and on quality with Data as a Service. Watch this webinar to learn:

How Data as a Service makes implementing, upgrading, and maintaining packaged applications less costly, less complex and more secure
Why industry leaders such as Facebook, P&G, and Costco have embraced Data as a Service for their application projects

DevOps is a dynamic, rapidly evolving space – and a clear understanding of DevOps is vital to keeping your application development projects competitive. How have the most successful organizations invested in the DevOps approach? How do organizations measure the effectiveness of DevOps in the enterprise?

In this webinar, Louis Evans from Delphix and Ian Michiels from Gleanster discuss key insights from a newly conducted survey performed by Gleanster Research of over 2,000 DevOps practitioners from around the world. This survey was unique in that instead of outlining a subjective vision for DevOps, the industry leaders and the trend-setters were asked to tell us what works and what doesn't. Louis and Ian go deep and explore the challenges, best practices, and success metrics that were uncovered.

Oracle EBS projects often exceed desired timelines and budget because they are constrained by data. Inflexible IT infrastructure and unwieldy processes often mean that it takes days or weeks to provision data to application teams. Data as a Service (DaaS) represents an entirely new approach to managing data that accelerates EBS projects by as much as 50%.

What You'll Learn:

Why effectively managing data is critical to EBS projects
What Data as a Service means to firms implementing, upgrading, and maintaining EBS systems
Why industry leaders such as Facebook, Cisco, and Macy’s have embraced Data as a Service